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Null-Space-Based Controller for Heterogeneous Robot Formation in Congested Environments

  • Escuela Politecnica Nacional

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This paper describes a control proposal aimed at the formation of heterogeneous robots in environments with several obstacles. The formation of robots is composed of mobile robots with differential traction and a quadcopter, the dynamic model of each robot is used. The proposed controller is a cascade control scheme where the external loop contains a null-space-based control for path tracking and obstacle avoidance, and the internal controller is a dynamic PID type controller for speed tracking of each robot. The proposed control allows to have 2 tasks: i) form control and ii) posture control. Additionally, an obstacle avoidance strategy based on potential fictitious fields has been implemented. Obstacle avoidance can be located within one of the control tasks. The stability of the controllers is analyzed based on Lyapunov, and simulation tests are presented to verify the good performance of the proposed controllers.

Original languageEnglish
Title of host publicationProceedings - 2019 International Conference on Information Systems and Computer Science, INCISCOS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages238-243
Number of pages6
ISBN (Electronic)9781728155814
DOIs
StatePublished - 1 Nov 2019
Externally publishedYes
Event4th International Conference on Information Systems and Computer Science, INCISCOS 2019 - Quito, Pichincha, Ecuador
Duration: 20 Nov 201922 Nov 2019

Publication series

NameProceedings - 2019 International Conference on Information Systems and Computer Science, INCISCOS 2019

Conference

Conference4th International Conference on Information Systems and Computer Science, INCISCOS 2019
Country/TerritoryEcuador
CityQuito, Pichincha
Period20/11/1922/11/19

Keywords

  • Null space
  • heterogeneous formation
  • mobile robot
  • obstacle avoidance
  • potential fields
  • quadcopter

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